Preventive maintenance method of driving device

ABSTRACT

The present invention includes: collecting information about a change in energy magnitude according to time measured with the driving device in normal operation separately for each of a peak period and a mean period; collecting information about a change in energy magnitude according to time measured with the driving device in operation before the driving device breaks separately for each of the peak period and the mean period; setting a peak fault of the peak period on the basis of the information collected; and collecting information about a change in energy magnitude according to time measured in real time with the driving device in operation separately for each of the peak period and the mean period and of detecting the driving device in an abnormal state when the collected energy values in the peak period exceed the peak fault of the peak period set in the setting.

CROSS-REFERENCE TO RELATED APPLICATIONS

The present application is a continuation of International PatentApplication No. PCT/KR2018/004458, filed Apr. 17, 2018, which is basedupon and claims the benefit of priority to Korean Patent Application No.10-2017-0102632, filed on Aug. 11, 2017. The disclosures of theabove-listed applications are hereby incorporated by reference herein intheir entirety.

TECHNICAL FIELD

The present invention relates to a preventive maintenance method of adriving device and, more particularly, a preventive maintenance methodof a driving device, the method being able to prevent an enormous lossdue to a breakdown of a driving device by collecting operationinformation of the driving device in a normal state and operationinformation of the driving device before a breakdown occurs, setting afault and a warning in each of a peak period and a mean period on thebasis of the collected information, and by comparing operationinformation collected in real time when the driving device is drivenwith the faults and the warnings in the peak period and the mean periodto be able to repair and replace the driving device at appropriate timeby giving a warning when a condition arising suspicion of abnormalsymptoms of the driving device is satisfied.

BACKGROUND ART

In general, stable operation is very important for driving devices (amotor, a pump, a conveyer, a compressor, etc.) that are used forautomated processes of facilities.

For example, hundreds of driving devices are installed and continuouslyconvey materials to convey while driving in association with each otherat a large-scale conveying factory, in which if any one of the drivingdevice breaks, a severe situation that the entire facility is stoppedmay occur.

Down-time due to a breakdown of a driving device unavoidably causes aconsiderable loss due to not only a cost of repairing the drivingdevice, but also operational expenses and business effects that arewasted while the facility is stopped.

According to data from Korean Ministry of Employment and Labor andKorean Occupational Safety & Health Agency, a total of around hundredthousand people are killed or wounded every year due to industrialsafety accidents and the casualties are converted into yearly loss of 18trillion won in expenses.

It is urgent to introduce a preventive maintenance system as a measurefor avoiding such unexpected down-time costs. There have been efforts tosolve this problem under the name of preventive maintenance, but it isrequired develop a higher level of preventive maintenance method formore efficient preventive maintenance.

Technical Problem

The present invention has been made in an effort to solve the problemsdescribed above and an object of the present invention is to provide apreventive maintenance method of a driving device, the method being ableto prevent an enormous loss due to a breakdown of a driving device bycollecting operation information of the driving device in a normal stateand operation information of the driving device before a breakdownoccurs, setting a fault and a warning in each of a peak period and amean period on the basis of the collected information, and by comparingoperation information collected in real time when the driving device isdriven with the faults and the warnings in the peak period and the meanperiod to be able to repair and replace the driving device atappropriate time by giving a warning when a condition arising suspicionof abnormal symptoms of the driving device is satisfied.

Another object of the present invention is to provide a preventivemaintenance method of a driving device, the method being able to proposevarious detection conditions for searching for various abnormal symptomsthat may be generated in the driving device, to easily detect variousabnormal symptoms that are generated in the driving device by warning auser when the detection conditions are satisfied, and to secureexcellent reliability on the detection result.

Technical Solution

In order to achieve the objects of the present invention, a preventivemaintenance method of a driving device according to the presentinvention includes: a first base information collection step (S10) ofcollecting information about a change in energy magnitude according totime measured with the driving device in normal operation separately foreach of a peak period and a mean period; a second base informationcollection step (S20) of collecting information about a change in energymagnitude according to time measured with the driving device inoperation before the driving device breaks separately for each of thepeak period and the mean period; a setting step (S30) of setting a peakfault of the peak period on the basis of the information collected inthe first and second base information collection steps; and a detectionstep (S40) of collecting information about a change in energy magnitudeaccording to time measured in real time with the driving device inoperation separately for each of the peak period and the mean period andof detecting the driving device in an abnormal state when the collectedenergy values in the peak period exceed the peak fault of the peakperiod set in the setting step,

in which any one of a current that is consumed to drive the drivingdevice, vibration that is generated when the driving device is driven,noise that is generated when the driving device is driven, and thefrequency of a power supply source for the driving device is selectedand used as the energy that is measured from the driving device, and

in the setting step (S30), a period where the driving device starts tobe driven is set as an exception period because a large change isgenerated in energy magnitude when the driving device starts to bedriven, and

in the detection step (S40), the driving device is recognized as beingin a normal state even though the energy value of the driving deviceexceeds the peak fault in the peak period in the exception period, andthe driving device is recognized as being in an abnormal state eventhough it is the exception period when the energy value of the drivingdevice exceeds the peak fault in the peak period and a peak faultduration is maintained, in which the peak fault duration is set in thesetting step (S30).

Further, a peak alarm period of a predetermined time is set in thesetting step (S30), and

in the detection step (S40), the number of times that the energy valueof the driving device in the peak period exceeds the peak fault of thepeak period in the set peak alarm period is counted, and when the numberof times is sensed over a number of times set in the setting step (S30),the driving device is recognized as being in an abnormal state.

Further, in the setting step (S30), a peak warning of the peak period isset on the basis of the information collected in the first and secondbase information collection steps, and the driving device is detected asin a warning state when the energy value of the driving device in thepeak period exceeds the peak warning in the detection step (S40),

when the energy value of the driving device exceeds the peak warning inthe exception period, the driving device is detected as being in anormal state, when the energy value of the driving device exceeds thepeak warning and a peak warning duration is maintained in the exceptionperiod, the driving device is recognized as being in a warning stateeven though it is the exception period, the peak warning of the peakperiod is set as a value smaller than the peak fault, and the peakwarning duration is set in the setting step.

Further, a mean fault of the mean period is set in the setting step(S30) on the basis of the information collected in the first and secondbase information collection steps (S10 and S20),

in the detection step (S40), when the energy value of the driving devicein the mean period exceeds the mean fault of the mean period set in thesetting step (S30) and the exceeding energy value of the driving devicein the mean period is not maintained for a mean fault duration, thedriving device is detected as being in a normal state, but when theenergy value of the driving device in the mean period is maintained forthe mean fault duration, the driving device is detected as being in anabnormal state, and the mean fault duration is set in the setting step(S30).

Further, a mean warning of the mean period is set in the setting step(S30) on the basis of the information collected in the first and secondbase information collection steps (S10 and S20),

in the detection step (S40), when the energy value of the driving devicein the mean period exceeds the mean warning of the mean period set inthe setting step (S30) and the exceeding energy value of the drivingdevice in the mean period is not maintained for a mean warning duration,the driving device is detected as being in a normal state, but when theenergy value of the driving device in the mean period is maintained forthe mean fault duration, the driving device is detected as being in awarning state, and the mean warning of the mean period is set as a valuesmaller than the mean fault and the mean fault duration is set in thesetting step.

Further, when the energy value of the driving device in the peak periodexceeds a peak warning of the peak period for a peak warning durationand the energy value in the mean period exceeds the mean warning of themean period for the mean warning duration in the detection step (S40),the driving device is recognized as being in abnormal state.

Further, an offset value is set in the setting step (S30),

a start point is set as a point where the energy values of the drivingdevice in the peak period and the mean period start to exceeding theoffset, an end point is set as a point where the energy values start todecreasing under the offset value, a driving period of the drivingdevice is forcibly set as the period from the start point to the endpoint, driving periods repeated by the driving device that operateswhile repeating driving and pausing are respectively extracted andcollected, average values of change values in energy magnitude of thedriving device in the driving periods according to a measurement time ina normal state are extracted on the basis of information of thecollected driving periods, and an alarm upper limit and an alarm lowerlimit are set on the basis of the extracted average values of thechanges in energy magnitude of the driving device in the driving periodsaccording to a measurement time, and

in the detection step (S40), when a change value of an energy magnitudeaccording to time measured in a real-time driving state of the drivingdevice exceeds the alarm upper limit or is less than the alarm lowerlimit, the driving device is detected as being in an abnormal state.

Further, a reset time is set in the setting step (S30), and

the peak period and the mean period of the driving device are dividedinto several search periods by cutting the energy values in the peakperiod and the mean period at every set reset time.

Advantageous Effects

According to the preventive maintenance method of a driving device ofthe present invention, it is possible to prevent an enormous loss due toa breakdown of a driving device by collecting operation information ofthe driving device in a normal state and operation information of thedriving device before a breakdown occurs, setting a fault and a warningin each of a peak period and a mean period on the basis of the collectedinformation, and by comparing operation information collected in realtime when the driving device is driven with the faults and the warningsin the peak period and the mean period to be able to repair and replacethe driving device at appropriate time by giving a warning when acondition arising suspicion of abnormal symptoms of the driving deviceis satisfied.

Further, it is possible to propose various detection conditions forsearching for various abnormal symptoms that may be generated in thedriving device, to easily detect various abnormal symptoms that aregenerated in the driving device by warning a user when the detectionconditions are satisfied, and to secure excellent reliability on thedetection result.

BRIEF DESCRIPTION OF DRAWINGS

FIG. 1 is a block diagram of a preventive maintenance method of adriving device according to an embodiment of the present invention.

FIG. 2 is a graph illustrating information about a change in energymagnitude according to time measured in real time with a driving devicein operation.

FIG. 3 is a graph illustrating information about a change in energymagnitude according to time measured in real time with a driving devicein operation.

FIG. 4 is a graph illustrating the number of times that energy value ofa driving device exceeds peak fault in a set peak alarm period iscounted.

FIG. 5 is a graph illustrating information about a change in energymagnitude according to time measured in real time with a driving devicein operation.

FIG. 6 is a graph illustrating information about a change in energymagnitude according to time measured in real time with a driving devicein operation.

FIG. 7 is a graph illustrating information about a change in energymagnitude according to time measured in real time with a driving devicein operation.

FIG. 8 is a graph illustrating information about a change in energymagnitude according to time measured in real time with a driving devicein operation.

FIG. 9 is a graph illustrating patterns of repeated energy values indriving periods.

FIG. 10 is a graph illustrating information about a change in energymagnitude according to time measured in real time with a driving devicein operation.

FIG. 11 is a graph illustrating that energy values of a driving deviceare divided into several search periods.

FIG. 12 is a graph illustrating that energy values of a driving deviceare divided into several search periods.

DETAILED DESCRIPTION

A preventive maintenance method of a driving device according to apreferred embodiment of the present invention is described in detailwith reference to the accompanying drawings. When functions andconfigurations of components well known in the art may make the gist ofthe present invention unclear, a detailed description of the componentswill be omitted.

FIG. 1 is a block diagram of a preventive maintenance method of adriving device according to an embodiment of the present invention.

As shown in FIG. 1, a preventive maintenance method 100 of a drivingdevice according to an embodiment of the present invention includes afirst base information collection step (S10), a second base informationcollection step (S20), a setting step (S30), and a detection step (S40).

The first base information collection step (S10) is a step of collectinginformation about a change in energy magnitude according to timemeasured with a driving device in normal operation separately for eachof a peak period and a mean period.

This collected information forms the foundation of various referencevalues that are set to detect abnormal symptoms of the driving device inthe setting step (S30) and the detection step (S40) to be describedbelow.

In the information about a change in energy magnitude according to timemeasured with a driving device in normal operation, the peak periodmeans a period in which the energy magnitude is a peak and the meanperiod means a period in which the driving device is stabilized and anenergy value is continuously maintained within a predetermined range.

As the energy that is measured from the driving device, any one of acurrent that is consumed to drive the driving device, vibration that isgenerated when the driving device is driven, noise that is generatedwhen the driving device is driven, and the frequency of a power supplysource for the driving device is selected and used, but the energy isnot limited to these kinds of energy.

The second base information collection step (S20) is a step ofcollecting information about a change in energy magnitude according totime measured with the driving device in operation before the drivingdevice breaks separately for each of the peak period and the meanperiod.

This collected information, similar to the information collected in thefirst base information collection step (S10), also forms the foundationof various reference values that are set to detect abnormal symptoms ofthe driving device in the setting step (S30) and the detection step(S40).

The setting step (S30) is a step of setting a peak fault of the peakperiod on the basis of the information collected in the first and secondbase information collection steps (S10 and S20).

That is, the peak fault of the peak period is set on the basis of theinformation collected for a long period of time in the first and secondbase information collection steps (S10 and S20) and on the basis ofenergy values of the driving device that are abnormally changed in thepeak period before the driving device breaks.

The detection step (S40) is a step of collecting information about achange in energy magnitude according to time measured in real time withthe driving device in operation separately for each of the peak periodand the mean period and of detecting the driving device in an abnormalstate when the collected energy values in the peak period exceed thepeak fault of the peak period set in the setting step.

FIG. 2 is a graph illustrating information about a change in energymagnitude according to time measured in real time with a driving devicein operation.

As shown in FIG. 2, when an energy value in the peak period that changesin the process of driving the driving device exceeds the set peak faultof the peak period, the driving device is detected as being in anabnormal state to be able to prevent an economic loss due to stoppage ofa facility by a breakdown of the driving device by performing managementsuch as replacement or repair in advance before the driving devicebreaks.

Further, the period where the driving device starts to be driven is setas an exception period in the setting step (S30) because a large changeis generated in energy magnitude when the driving device starts to bedriven.

In the detection step (S40), the driving device is recognized as beingin a normal state even though the energy value of the driving device inthe peak period exceeds the peak fault in the peak period in theexception period, and the driving device is recognized as being in anabnormal state even though it is the exception period when the energyvalue of the driving device in the peak period exceeds the peak fault inthe peak period and a peak fault duration is maintained, in which thepeak fault duration is set in the setting step (S30).

FIG. 3 is a graph illustrating information about a change in energymagnitude according to time measured in real time with a driving devicein operation.

In general, the energy magnitude of the driving device is large when thedriving device starts to be driven. For example, as shown in FIG. 3,assuming that the energy of the driving device is a current that isconsumed to operate the driving device, a large amount of current isrequired to start the driving device and a small amount of current isconsumed at a constant level when the driving device is normally drivenand reaches the mean period. Obviously, a change in energy correspondsto not only a current, but vibration, noise, and the frequency of apower supply source.

Accordingly, since the energy value of the driving device in the peakperiod exceeds the peak fault in many cases at the point of time wherethe driving device starts to be driven, the driving device is recognizedas being in a normal state when the energy value of the driving devicein the peak period exceeds the peak fault in the exception period.

However, even though it is the exception period, when the energy valueof the driving device in the peak period exceeds the peak fault andmaintained for a peak fault duration, the driving device is detected(recognized) as being in an abnormal state, in which the peak faultdirection is set in the setting step (S30) on the basis of theinformation collected in the first and second base informationcollection steps (S10 and S20).

Further, a peak alarm period of a predetermined time is set in thesetting step (S30).

In the detection step (S40), the number of times that the energy valueof the driving device in the peak period exceeds the peak fault of thepeak period in the set peak alarm period is counted, and when the numberof times is sensed over a number of times set in the setting step, thedriving device is recognized as being in an abnormal state.

FIG. 4 is a graph illustrating the number of times that energy value ofa driving device exceeds peak fault in a set peak alarm period iscounted.

In the detection step (S40), when the energy value of the driving devicein the peak period is counted over the peak fault of the peak period butdoes not exceed the number of times set within the time of the peakalarm period set in the setting step (S30), the driving device isrecognized as being in a normal state; however, as shown in FIG. 4, whenthe number of times exceeds the number of times set within the limitedtime of the peak alarm period, the driving device is recognized as beingin an abnormal state, whereby precise preventive maintenance is inducedfor the driving device.

Further, in the setting step (S30), a peak warning of the peak period isset on the basis of the information collected in the first and secondbase information collection steps (S10 and S20), and the driving deviceis detected as in a warning state when the energy value of the drivingdevice in the peak period exceeds the peak warning in the detection step(S40).

When the energy value of the driving device in the peak period exceedsthe peak warning of the peak period in the exception period, the drivingdevice is detected as being in a normal state.

When the energy value of the driving device in the peak period exceedsthe peak warning of the peak period and a peak warning duration ismaintained in the exception period, the driving device is recognized asbeing in a warning state even though it is the exception period.

The peak warning of the peak period is set as a value smaller than thepeak fault of the peak period and the peak warning duration is set inthe setting step (S30).

That is, as described above, since the magnitude of the energy of thedriving device is large at the point of time where the driving devicestarts to be driven, the energy value of the driving device in the peakperiod at the point of time where the driving device starts to be drivenexceeds the peak warning in many cases, so when the energy value of thedriving device in the peak period exceeds the peak warning in theexception period, the driving device is recognized as being in a normalstate.

FIG. 5 is a graph illustrating information about a change in energymagnitude according to time measured in real time with a driving devicein operation.

As shown in FIG. 5, when the energy value of the driving device in thepeak period exceeds the peak warning of the peak period and the peakwarning duration is maintained, even though it is the exception period,the driving device is detected as being in a warning state, in which thepeak warning duration is obviously set in the setting step (S30) on thebasis of the information collected in the first and second baseinformation collection steps (S10 and S20).

Further, the peak warning of the peak period is set on the basis of theinformation collected for a long period of time in the first and secondbase information collection steps (S10 and S20) and on the basis ofenergy values of the driving device that are abnormally changed in thepeak period before the driving device breaks, in which the peak warningof the peak period is set as a value smaller than the peak fault of thepeak period.

Accordingly, when the energy value in the peak period that changes inthe process of driving the driving device exceeds the set peak warning,the driving device is detected as being in a warning state, which can beconsidered as a step in which the driving device is in a dangerous stateat a lower level than the case when the energy value exceeds the peakfault of the peak period, so special interest and attention are requiredfor the driving device.

Further, in the setting step (S30), a mean fault of the mean period isset on the basis of the information collected in the first and secondbase information collection steps (S10 and S20).

In the detection step (S40), when the energy value of the driving devicein the mean period exceeds the mean fault of the mean period set in thesetting step (S30) and the exceeding energy value of the driving devicein the mean period is not maintained for a mean fault duration, thedriving device is detected as being in a normal state, but when theenergy value of the driving device in the mean period is maintained forthe mean fault duration, the driving device is detected as being in anabnormal state, in which the mean fault duration is set in the settingstep.

The mean period of the driving device means a period in which the energyvalue is maintained within a predetermined range for a predeterminedtime. The range of the energy value or the mean fault duration thatdetermines the mean period is suitably set by a user on the basis of theinformation collected in the first base information collection step(S10).

Further, the mean fault of the mean period is set on the basis of theinformation collected for a long period of time in the first and secondbase information collection steps (S10 and S20) and on the basis ofenergy values of the driving device that are abnormally changed in themean period before the driving device breaks.

FIG. 6 is a graph illustrating information about a change in energymagnitude according to time measured in real time with a driving devicein operation.

As shown in FIG. 6, when the energy value of the mean period thatchanges in the process of driving the driving device exceeds the meanfault of the mean period and is maintained for the mean fault duration,it is recognized as a step in which the driving device is detected asbeing in an abnormal state and management such as replacement and repairis required before the driving device breaks.

Even if the energy value of the driving device in the mean periodexceeds the mean fault of the mean period, when the mean fault durationis not maintained, it is recognized as a case due to temporary load onthe driving device or a normal situation such as a case in which theenergy value passes the mean fault of the mean period in a process ofentering the mean period from the peak period, whereby the driving stateis detected as being in a normal state.

The mean fault duration set to recognize the state of the driving deviceis also set in the setting step (S30) on the basis of the informationcollected in the first and second base information collection steps (S10and S20).

Further, a mean warning of the mean period is set in the setting step(S30) on the basis of the information collected in the first and secondbase information collection steps (S10 and S20), in the detection step(S40), when the energy value of the driving device in the mean periodexceeds a mean warning of the mean period set in the setting step (S30)and the exceeding energy value is not maintained for a mean warningperiod, the driving device is detected as being in a normal state, butwhen the exceeding energy value of the driving device in the mean periodis maintained for the mean warning duration, the driving device isdetected as being in warning state.

The mean warning of the mean period is set as a value smaller than themean fault of the mean period and the mean fault duration is set in thesetting step (S30).

The mean warning of the mean period is set on the basis of theinformation collected for a long period of time in the first and secondbase information collection steps (S10 and S20) and on the basis ofenergy values of the driving device that are abnormally changed in themean period before the driving device breaks, in which the mean warningof the mean period is set as a value smaller than the mean fault of themean period.

FIG. 7 is a graph illustrating information about a change in energymagnitude according to time measured in real time with a driving devicein operation.

As shown in FIG. 7, when the energy value in the mean period thatchanges in the process of driving the driving device exceeds the setpeak warning in the mean period and is maintained for the mean faultduration, the driving device is detected as being in a warning state,which can be considered as a step in which the driving device is in adangerous state at a lower level than the case when the energy valueexceeds the mean fault of the mean period, so special interest andattention is required for the driving device.

The mean fault duration set to recognize the state of the driving deviceis also set in the setting step (S30) on the basis of the informationcollected in the first and second base information collection steps (S10and S20).

Further, when the energy value of the driving device in the peak periodexceeds a peak warning of the peak period for a peak warning durationand the energy value in the mean period exceeds the mean warning of themean period for the mean warning duration in the detection step (S40),the driving device is recognized as being in abnormal state.

FIG. 8 is a graph illustrating information about a change in energymagnitude according to time measured in real time with a driving devicein operation.

As shown in FIG. 8, when the energy value of the driving device isdetected as being in a warning state in both the peak and mean periodsin the detection step (S40), it is preferable to recognize the drivingdevice as being in an abnormal state and perform management such asreplacement or repair by testing the driving device because precisemanagement is required for safe operation of the facility even if thedriving device is in a warning state.

Further, an offset value is set in the setting step (S30).

A start point is set as a point where the energy values of the drivingdevice in the peak period and the mean period start to exceeding theoffset, an end point is set as a point where the energy values start todecreasing under the offset value, a driving period of the drivingdevice is forcibly set as the period from the start point to the endpoint, driving periods repeated by the driving device that operateswhile repeating driving and pausing are respectively extracted andcollected, average values of change values in energy magnitude of thedriving device in the driving periods according to a measurement time ina normal state are extracted on the basis of information of thecollected driving periods, and an alarm upper limit and an alarm lowerlimit are set on the basis of the extracted average values of thechanges in energy magnitude of the driving device in the driving periodsaccording to a measurement time.

In the detection step (S40), when a change value of an energy magnitudeaccording to time measured in a real-time driving state of the drivingdevice exceeds the alarm upper limit or is less than the alarm lowerlimit, the driving device is detected as being in an abnormal state.

FIG. 9 is a graph illustrating patterns of repeated energy values indriving periods.

As shown in FIG. 9, a user can easily extract and acquire repeateddriving periods of the driving device by setting the offset value, canmore systematically collect, compare, and manage the states (data) ofthe driving device through the patterns of the repeated energy values inthe driving periods, and can more effectively perform preventivemaintenance on the driving device on the basis of the data.

FIG. 10 is a graph illustrating information about a change in energymagnitude according to time measured in real time with a driving devicein operation.

As shown in FIG. 10, by setting the alarm upper limit and the alarmlower limit on the basis of the data of the repeated energy valuesaccording to time in the driving period in the setting step (S30), it ispossible to suspect deterioration, aging, abnormal load, etc. of thedriving device due to long-time use and to induce stable operation ofthe facility through careful attention and management on the drivingdevice when the energy change value according to time of the drivingdevice exceeds the alarm upper limit or is less than the alarm lowerlimit even if the energy change value does not exceed the peak fault orthe peak warning of the peak period or the mean fault or the meanwarning of the mean period while the driving device is driven in realtime.

Obviously, the alarm upper limit or the alarm lower limit is set on anenergy value of the driving device that abnormally changes undersituations such as deterioration, aging, and load due to sticking offoreign substance of the driving device.

Further, by setting the offset value, even if the driving device doesnot completely stop when it pauses, it is possible to forcibly extract adriving period of the driving device using the point, where the energyvalues of the driving device in the peak period and the mean period dropunder the offset value, as an end point, so it is possible to easilyperform preventive maintenance on the driving device having variousdriving conditions.

When the driving device pauses but does not completely stop, it ispossible to set a driving period by setting an off duration such that apoint, where the energy values of the driving device in the peak periodand the mean period drop under the offset value and then are maintainedfor the off duration, can be recognized as the end point of the drivingperiod.

Accordingly, since the preventive maintenance method 100 of a drivingdevice according to the present invention can detect all the abnormalsymptoms that may be generated before the driving device breaks and theabnormal symptoms that may be generated by deterioration or aging of thedriving device, it is possible to more effectively prevent problems thatmay be generated by stoppage of a facility due to a breakdown of thedriving device.

Further, a reset time is set in the setting step (S30).

The peak period and the mean period of the driving device are dividedinto several search periods by cutting the energy values in the peakperiod and the mean period at every set reset time.

FIG. 11 is a graph illustrating that energy values of a driving deviceare divided into several search periods.

As shown in FIG. 11, since it is possible to extract and acquire severalsearch periods by continuously cutting the energy values of the drivingdevice in the peak period and the mean period at every reset time set inthe setting step (S30), it is possible to more systematically collect,compare, and manage the states (data) of the driving device through thepatterns of the repeated energy values in the search periods and it isalso possible to more effectively perform preventive maintenance on thedriving device on the basis of the data.

Accordingly, it is possible to more effectively perform preventivemaintenance on the driving device on the basis of the energy valuechange information in the peak period and the mean period of the drivingperiods repeatedly extracted by the offset and the energy value changeinformation in the search periods repeatedly extracted by the resettime.

FIG. 12 is a graph illustrating that energy values of a driving deviceare divided into several search periods.

As shown in FIG. 12, when the driving device is continuously drivenwithout pausing once it is driven, it is possible to extract and acquireseveral search periods by dividing the continuous mean period throughthe reset time, so the states of the driving device having a continuousmean period is effectively estimated through comparison of the severalsearch periods by collecting and comparing information (data) collectedfrom the several search periods.

Obviously, even though the driving device repeats driving and pausing,it is possible to effectively estimate the states of the driving deviceby comparing information of several search periods by applying the resettime.

The preventive maintenance method 100 of a driving device that detectsabnormal symptoms of the driving device through the process describedabove, in accordance with an embodiment of the present invention, canprevent an enormous loss due to a breakdown of a driving device bycollecting operation information of the driving device in a normal stateand operation information of the driving device before a breakdownoccurs, setting a fault and a warning in each of a peak period and amean period on the basis of the collected information, and by comparingoperation information collected in real time when the driving device isoperated with the faults and the warnings in the peak period and themean period to be able to repair and replace the driving device atappropriate time by giving a warning when a condition arising suspicionof abnormal symptoms of the driving device is satisfied.

Further, since the method proposes various detection conditions forsearch for various abnormal symptoms that may be generated in thedriving device, and warns a user when the detection conditions aresatisfied, it is possible to not only easily detect various abnormalsymptoms that are generated in the driving device, but secure excellentreliability on the detection result.

Meanwhile, the preventive maintenance method 100 of a driving deviceaccording to an embodiment of the present invention can also beimplemented by a combination of various electronic devices and programsthat can collect, detect, compare, and warn of an energy value of thedriving device.

Although the present invention was described with reference to theembodiments shown in the accompanying drawings, it is an example and isnot limited to the embodiment described above, and it would beunderstood by those skilled in the art that various modified andequivalent embodiments may be implemented. Further, the presentinvention may be changed by those skilled in the art without departingfrom the spirit of the present invention. Accordingly, the scope of thepresent invention is not defined within the range of the detaileddescription, but may be limited to the claims to be described below andthe spirit thereof.

-   -   S10. First base information collection step    -   S20. Second base information collection step    -   S30. Setting step    -   S40. Detection step    -   100. Preventive maintenance method of driving device

What is claimed is:
 1. A preventive maintenance method of a drivingdevice that is used for various facilities, the method comprising: afirst base information collection step (S10) of collecting informationabout a change in energy magnitude according to time measured with thedriving device in normal operation separately for each of a peak periodand a mean period; a second base information collection step (S20) ofcollecting information about a change in energy magnitude according totime measured with the driving device in operation before the drivingdevice breaks separately for each of the peak period and the meanperiod; a setting step (S30) of setting a peak fault of the peak periodon the basis of the information collected in the first and second baseinformation collection steps (S10 and S20); and a detection step (S40)of collecting information about a change in energy magnitude accordingto time measured in real time with the driving device in operationseparately for each of the peak period and the mean period and ofdetecting the driving device in an abnormal state when the collectedenergy values in the peak period exceed the peak fault of the peakperiod set in the setting step (S30), wherein any one of a current thatis consumed to drive the driving device, vibration that is generatedwhen the driving device is driven, noise that is generated when thedriving device is driven, and the frequency of a power supply source forthe driving device is selected and used as the energy that is measuredfrom the driving device, and in the setting step (S30), a period wherethe driving device starts to be driven is set as an exception periodbecause a large change is generated in energy magnitude when the drivingdevice starts to be driven, and in the detection step (S40), the drivingdevice is recognized as being in a normal state even though the energyvalue of the driving device in the peak period exceeds the peak fault inthe peak period in the exception period, and the driving device isrecognized as being in an abnormal state even though it is the exceptionperiod when the energy value of the driving device in the peak periodexceeds the peak fault in the peak period and a peak fault duration ismaintained, in which the peak fault duration is set in the setting step(S30).
 2. The method of claim 1, wherein a peak alarm period of apredetermined time is set in the setting step (S30), and in thedetection step (S40), the number of times that the energy value of thedriving device in the peak period exceeds the peak fault of the peakperiod in the set peak alarm period is counted, and when the number oftimes is sensed over a number of times set in the setting step (S30),the driving device is recognized as being in an abnormal state.
 3. Themethod of claim 1, wherein in the setting step (S30), a peak warning ofthe peak period is set on the basis of the information collected in thefirst and second base information collection steps (S10 and S20), andthe driving device is detected as in a warning state when the energyvalue of the driving device in the peak period exceeds the peak warningin the detection step (S40), when the energy value of the driving deviceexceeds the peak warning in the exception period, the driving device isdetected as being in a normal state, when the energy value of thedriving device exceeds the peak warning and a peak warning duration ismaintained in the exception period, the driving device is recognized asbeing in a warning state even though it is the exception period, thepeak warning of the peak period is set as a value smaller than the peakfault, and the peak warning duration is set in the setting step (S30).4. The method of claim 1, wherein a mean fault of the mean period is setin the setting step (S30) on the basis of the information collected inthe first and second base information collection steps (S10 and S20), inthe detection step (S40), when the energy value of the driving device inthe mean period exceeds the mean fault of the mean period set in thesetting step (S30) and the exceeding energy value of the driving devicein the mean period is not maintained for a mean fault duration, thedriving device is detected as being in a normal state, but when theenergy value of the driving device in the mean period is maintained forthe mean fault duration, the driving device is detected as being in anabnormal state, and the mean fault duration is set in the setting step.5. The method of claim 4, wherein a mean warning of the mean period isset in the setting step (S30) on the basis of the information collectedin the first and second base information collection steps (S10 and S20),in the detection step (S40), when the energy value of the driving devicein the mean period exceeds the mean warning of the mean period set inthe setting step (S30) and the exceeding energy value of the drivingdevice in the mean period is not maintained for a mean warning duration,the driving device is detected as being in a normal state, but when theenergy value of the driving device in the mean period is maintained forthe mean fault duration, the driving device is detected as being in awarning state, and the mean warning of the mean period is set as a valuesmaller than the mean fault of the mean period and the mean faultduration is set in the setting step (S30).
 6. The method of claim 5,wherein when the energy value of the driving device in the peak periodexceeds a peak warning of the peak period for a peak warning durationand the energy value in the mean period exceeds the mean warning of themean period for the mean warning duration in the detection step (S40),the driving device is recognized as being in abnormal state.
 7. Themethod of claim 5, wherein an offset value is set in the setting step(S30), a start point is set as a point where the energy values of thedriving device start to exceeding the offset, an end point is set as apoint where the energy values start to decreasing under the offsetvalue, a driving period of the driving device is forcibly set as theperiod from the start point to the end point, driving periods repeatedby the driving device that operates while repeating driving and pausingare respectively extracted and collected, average values of changevalues in energy magnitude of the driving device in the driving periodsaccording to a measurement time in a normal state are extracted on thebasis of information of the collected driving periods, and an alarmupper limit and an alarm lower limit are set on the basis of theextracted average values of the changes in energy magnitude of thedriving device in the driving periods according to a measurement time,and in the detection step (S40), when a change value of an energymagnitude according to time measured in a real-time driving state of thedriving device exceeds the alarm upper limit or is less than the alarmlower limit, the driving device is detected as being in an abnormalstate.
 8. The method of claim 7, wherein a reset time is set in thesetting step (S30), and the peak period and the mean period of thedriving device are divided into several search periods by cutting theenergy values in the peak period and the mean period at every set resettime.